U.K, Jan. 13 -- Many industries rely on a framework to guide them through difficult situations. But while information security specialists have ISO 27000 standards to rely on, supply chains lack a proper equivalent.
Historically, supply chains have used traditional forecasting methods and data to predict future demand, analysing extensive data to dynamically manage numerous trade-offs and complex problems, such as capacity constraints, inventory optimisation and demand prediction. But COVID-19 has exposed the fragility of these traditional systems, as historic data becomes less relevant and reliable in exceptional times.
Fortunately, emerging new AI technologies are better placed to help overcome these challenges. It's a long road ahead, ...